More intelligence does not automatically mean more prosperity.

That is the uncomfortable implication buried in today's AI economics debate (and self-serving statements by AI firm CEOs), and it deserves more attention before the next round of productivity and GDP forecasts.

Human intelligence has always been scarce. Concentrated in the right places, it has produced extraordinary returns - stronger institutions, scientific breakthroughs and compounding innovation.

Machine intelligence is different. It is becoming abundant, inexpensive to replicate and increasingly commoditised. If everyone has access to the same frontier models, intelligence itself is no longer the advantage.

Competitive advantage shifts to what surrounds it - proprietary data, trusted relationships, execution, regulatory position and, above all, judgement.

The strategic question is no longer, "How do we get AI?"

It is, "What do we have that commodity intelligence cannot replicate?"

But there is a second question that receives far less attention.

What happens if intelligent automation succeeds beyond expectations?

If AI drives sustained job displacement across industries, higher productivity inside firms does not automatically translate into greater prosperity across society. Lower workforce participation means lower household incomes, weaker consumer demand and lower tax receipts, while governments face rising pressure for income support and public services.

Eventually, those forces feed back into productivity itself.

This is the growing black box in the AI narrative.

On one side are forecasts of an intelligence boom and an era of abundance. On the other is the assumption that society transitions smoothly between the two.

Inside that black box sit the defining policy questions of the decade: reskilling, education, labour market transition and income support.

Get those settings right, and AI could deliver unprecedented shared prosperity.

Get them wrong, and the risks extend well beyond economics - higher poverty, declining mental health, weaker social cohesion and growing support for grievance-driven populist movements.

Technology alone has never determined outcomes. Institutions and policy matter just as much.

The debate is no longer only about building more capable AI.

It is about building economies capable of absorbing it.

Because more intelligence is not the same thing as more prosperity.

#AI #AIStrategy #Economics #FutureOfWork #Productivity #PublicPolicy